Summary of Deepseekmath: Pushing the Limits Of Mathematical Reasoning in Open Language Models, by Zhihong Shao et al.
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
by Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, Y.K. Li, Y. Wu, Daya Guo
First submitted to arxiv on: 5 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces DeepSeekMath 7B, a language model designed to tackle mathematical reasoning tasks. By pre-training on a vast dataset of math-related tokens from Common Crawl, along with natural language and code data, DeepSeekMath 7B achieves an impressive score of 51.7% on the MATH benchmark without relying on external toolkits or voting techniques. The model’s performance approaches that of Gemini-Ultra and GPT-4, showcasing its capabilities in mathematical reasoning. Two key factors contribute to DeepSeekMath’s success: a carefully engineered data selection pipeline harnessing publicly available web data, and Group Relative Policy Optimization (GRPO), a variant of Proximal Policy Optimization (PPO) that optimizes memory usage while enhancing mathematical reasoning abilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a super-smart computer model called DeepSeekMath 7B. It’s really good at doing math problems! The researchers used lots of math-related words and phrases from the internet to train the model, along with some code and regular language too. They did this to make the model better at understanding math. And guess what? It worked! DeepSeekMath 7B is almost as good as some other super-smart computers that are really good at math too. |
Keywords
* Artificial intelligence * Gemini * Gpt * Language model * Optimization
